Based on correlation analysis-research on power grid equipment repair and maintenance cost estimation technology of support vector machine

The asset management of grid enterprises is inherently characterized by technical complexity and capital intensity, placing high demands on the scientific and precise nature of cost budgeting decisions. Therefore, effectively managing and controlling grid operation and maintenance costs is a critical factor in promoting the sustainable development of grid enterprises. This paper thoroughly examines the various factors influencing investment decisions related to equipment operation and maintenance within grid enterprises and proposes a regional O&M cost estimation model based on the Least Squares Support Vector Machine . Through rigorous empirical analysis, the proposed model demonstrates strong capabilities in cost forecasting, providing a powerful tool for enhancing the efficiency of O&M investment optimization in grid enterprises.